ArticleBiometrics2018
Time-dynamic profiling with application to hospital readmission among patients on dialysis.
Article in Biometrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Nondialytic Care vs Dialysis Transition on Hospitalization: Outcomes in Veterans With Advanced Chronic Kidney Disease.Mayo Clinic proceedings · 2026Article
- Multivariate varying coefficient spatiotemporal model.Statistics in biosciences · 2024Article
- Spatiotemporal multilevel joint modeling of longitudinal and survival outcomes in end-stage kidney disease.Lifetime data analysis · 2024Article
- Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.Biostatistics (Oxford, England) · 2024Article
- Limitations of the Inter-Unit Reliability: A Set of Practical Examples.Health services & outcomes research methodology · 2024Article
- COMPOSITE SCORES FOR TRANSPLANT CENTER EVALUATION: A NEW INDIVIDUALIZED EMPIRICAL NULL METHOD.The annals of applied statistics · 2024Article
- Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information.Health services & outcomes research methodology · 2023Article
- High-Dimensional Fixed Effects Profiling Models and Applications in End-Stage Kidney Disease Patients: Current State and Future Directions.International journal of statistics in medical research · 2023Article
- A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival in patients on dialysis.Statistics in medicine · 2022Article
- Analysis of hospital readmissions with competing risks.Statistical methods in medical research · 2022Article
- MEASURING PERFORMANCE FOR END-OF-LIFE CARE.The annals of applied statistics · 2022Article
- Stratified Cox models with time-varying effects for national kidney transplant patients: A new blockwise steepest ascent method.Biometrics · 2022Article
- Improving large-scale estimation and inference for profiling health care providers.Statistics in medicine · 2022Article
- Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population.Statistics in medicine · 2021Article
- Fixed Effects High-Dimensional Profiling Models in Low Information Context.International journal of statistics in medical research · 2021Article
- Article
- The profile inter-unit reliability.Biometrics · 2020Article
- Profiling dialysis facilities for adverse recurrent events.Statistics in medicine · 2020Article
- Association of US Dialysis Facility Staffing with Profiling of Hospital-Wide 30-Day Unplanned Readmission.Kidney diseases (Basel, Switzerland) · 2019Article
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7 authors.
Funding
Abstract
Standard profiling analysis aims to evaluate medical providers, such as hospitals, nursing homes, or dialysis facilities, with respect to a patient outcome. The outcome, for instance, may be mortality, medical complications, or 30-day (unplanned) hospital readmission. Profiling analysis involves regression modeling of a patient outcome, adjusting for patient health status at baseline, and comparing each provider's outcome rate (e.g., 30-day readmission rate) to a normative standard (e.g., national "average"). Profiling methods exist mostly for non time-varying patient outcomes. However, for patients on dialysis, a unique population which requires continuous medical care, methodologies to monitor patient outcomes continuously over time are particularly relevant. Thus, we introduce a novel time-dynamic profiling (TDP) approach to assess the time-varying 30-day readmission rate. TDP is used to estimate, for the first time, the risk-standardized time-dynamic 30-day hospital readmission rate, throughout the time period that patients are on dialysis. We develop the framework for TDP by introducing the standardized dynamic readmission ratio as a function of time and a multilevel varying coefficient model with facility-specific time-varying effects. We propose estimation and inference procedures tailored to the problem of TDP and to overcome the challenge of high-dimensional parameters when examining thousands of dialysis facilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.